大学生饮料依赖与睡眠质量的相关性

沈婧; 陈君君; 路红春; 徐培培; 李国莲; 倪琳; 邓子龙; 王芳; 翟金霞

doi:10.16835/j.cnki.1000-9817.2025250

大学生饮料依赖与睡眠质量的相关性

doi: 10.16835/j.cnki.1000-9817.2025250

沈婧^{1, 2},
陈君君²,
路红春²,
徐培培²,
李国莲³,
倪琳⁴,
邓子龙⁵,
王芳⁶,
翟金霞^1, ,

1.
安徽医科大学公共卫生学院，合肥 230032
2.
安庆医药高等专科学校护理学院
3.
安徽建筑大学环境与能源工程学院
4.
安庆师范大学资源环境学院
5.
安庆职业技术学院信息技术学院
6.
仁慈医院重症医学科

基金项目:

安徽省高校科学研究项目 2024AH052781

安徽省质量工程项目 2023jyxm1578

安徽省质量工程项目 2023sdxx250

安徽省质量工程项目 2024yljk089

详细信息

作者简介:
沈婧(1987-)，女，安徽潜山人，大学本科，讲师，主要研究方向为护理教育

通讯作者:
翟金霞，E-mail: jinxia.zhai@foxmail.com

利益冲突声明 所有作者声明无利益冲突。
中图分类号: R179 R155.1 Q428
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- 文章访问数: 31
- HTML全文浏览量: 10
- PDF下载量: 2
- 被引次数: 0
出版历程
- 收稿日期: 2025-03-26
- 修回日期: 2025-07-31
- 网络出版日期: 2025-08-30
- 刊出日期: 2025-08-25

Correlation between beverage dependence and sleep quality among college students

1.
School of Public Health, Anhui Medical University, Hefei 230032, Anhui Province, China

摘要

摘要: 目的探讨大学生饮料依赖与睡眠质量的关系，为改善大学生睡眠质量提供实证依据。方法 2024年12月—2025年1月，采用方便抽样方法从安徽省内4所高校抽取3 974名大学生进行问卷调查。应用大学生饮料依赖量表(BASCS)评估饮料依赖、睡眠状况自评量表(SRSS)评估睡眠质量，采用多因素Logistic回归模型分析大学生饮料依赖与睡眠质量的关系，采用限制性立方样条模型分析两者的剂量-反应关系。结果大学生饮料依赖症状的阳性率为7.6%，戒断症状、健康效应、依赖症状维度阳性率分别为9.6%，13.8%，7.4%；睡眠障碍的检出率为23.6%。多因素Logistic回归分析结果显示，调整年级、性别、体质量指数等协变量后，以无饮料依赖组为参照，有饮料依赖症状阳性的大学生睡眠障碍风险较高(OR=3.71, 95%CI=2.87~4.80), 戒断症状、健康效应和依赖症状3个维度症状阳性者存在睡眠障碍的OR值(95%CI)分别为2.80(2.22~3.53)，2.38(1.95~2.91)，2.45(1.89~3.18)(P值均＜0.01)。限制性立方样条模型分析发现，饮料依赖总体及其3个维度评分均与大学生睡眠障碍风险呈近似线性关系(非线性P值均>0.05)。结论大学生饮料依赖与睡眠质量有关，学校应通过饮料认知健康教育等多途径改善大学生睡眠质量。
- 饮料 /
- 行为，成瘾 /
- 睡眠 /
- 精神卫生 /
- 回归分析 /
- 学生
Abstract: Objective To explore the relationship between beverage dependence and sleep quality among college students, providing empirical evidence for improving their sleep quality. Methods From December 2024 to January 2025, a convenience sampling method was used to conduct a questionnaire survey among 3 974 college students from four universities in Anhui Province. The Beverage Addiction Scale for College Students (BASCS) was used to assess beverage dependence, and the Self-rating Scale of Sleep(SRSS) was used to evaluate sleep quality. A multivariate Logistic regression model was employed to analyze the relationship between beverage dependence and sleep quality, and a restricted cubic spline model was used to examine the dose-response relationship between the two. Results The positive rate of beverage dependence symptoms among college students was 7.6%, with positive rates of 9.6%, 13.8%, and 7.4% for the withdrawal symptoms, health effects, and dependence symptoms dimensions, respectively. The detection rate of sleep disorders was 23.6%. Multivariate Logistic regression analysis showed that after adjusting for covariates such as grade, gender, and body mass index, compared with the no beverage dependence group, students with positive beverage dependence symptoms had a higher risk of sleep disorders(OR=3.71, 95%CI=2.87-4.80, P < 0.01). The OR(95%CI) for sleep disorders among students with positive symptoms in the withdrawal symptoms, health effects, and dependence symptoms dimensions were 2.80(2.22-3.53), 2.38(1.95-2.91), and 2.45(1.89-3.18)(all P < 0.01). Further analysis using a restricted cubic spline model revealed that the overall beverage dependence score and its three dimensional scores were approximately linearly related to the risk of sleep disorders among college students (all nonlinear P>0.05). Conclusions Beverage dependence is associated with sleep quality among college students. Schools should take multiple approaches, such as health education on beverage awareness, to improve students' sleep quality.
- Beverages /
- Behavior, addictive /
- Sleep /
- Mental health /
- Regression analysis /
- Students
注释:

1) 利益冲突声明 所有作者声明无利益冲突。

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图 1 大学生睡眠障碍与饮料依赖关联的限制性立方样条分析

注：总体P值均＜0.01，非线性P值均>0.05。

Figure 1. Restricted cubic spline analysis of the association between sleep disorders and beverage dependence among college students

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表 1 不同人口学特征大学生睡眠障碍检出率比较

Table 1. Comparison of the detection rates of sleep disorders among college students with different demographic characteristics

人口学指标	选项	人数	睡眠障碍检出人数	χ²值	P值
年级	大一	1 508	344(22.81)	54.43	＜0.01
	大二	1 275	230(18.04)
	大三	867	266(30.68)
	大四	324	98(30.25)
性别	男	1 879	415(22.09)	4.55	0.03
	女	2 095	523(24.96)
居住地	城镇	1 492	355(23.79)	0.05	0.83
	农村	2 482	583(23.49)
BMI/(kg·m^-2)	＜18.5	678	183(26.99)	10.10	0.02
	18.5~23.9	2 356	553(23.47)
	24.0~27.9	652	129(19.79)
	≥28.0	288	73(25.35)
月生活费/元	＜1 000	669	186(27.80)	8.97	0.01
	1 000~2 000	3 016	679(22.51)
	>2 000	289	73(25.26)
是否独生子女	是	860	211(24.53)	0.53	0.47
	否	3 114	727(23.35)
亲密朋友数/个	0	209	80(38.28)	31.15	＜0.01
	1~2	1 647	402(24.41)
	3~4	1 333	294(22.06)
	>4	785	162(20.64)
父亲文化程度	初中及以下	2 673	624(23.34)	0.44	0.80
	高中/中专/技校	955	233(24.40)
	大专及以上	346	81(23.41)
母亲文化程度	初中及以下	2 981	698(23.41)	1.16	0.56
	高中/中专/技校	731	171(23.39)
	大专及以上	262	69(26.34)
父亲职业	公职人员	180	40(22.22)	0.62	0.73
	工农	2 051	477(23.26)
	个体/其他	1 743	421(24.15)
母亲职业	公职人员	144	29(20.14)	1.74	0.42
	工农	1 775	410(23.10)
	个体/其他	2 055	499(24.28)
家庭类型	双亲	3 446	793(23.01)	5.03	0.03
	其他	528	145(27.46)
家庭年收入/万元	＜3.0	1 159	318(27.44)	14.80	＜0.01
	3.0~7.9	1 585	344(21.70)
	8.0~14.9	815	175(21.47)
	≥15.0	415	101(24.34)
自评学习负担	很轻	167	40(23.95)	180.03	＜0.01
	轻	195	29(14.87)
	一般	2 835	551(19.44)
	重	577	216(37.44)
	很重	200	102(51.00)
注： ( )内数字为检出率/%。

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表 2 大学生睡眠障碍与饮料依赖关联的Logistic回归分析(n=3 974)

Table 2. Logistic regression analysis of the association between sleep disorders and beverage dependence among college students(n=3 974)

变量类型	自变量	模型1			模型2
变量类型	自变量	回归系数	标准误	OR值(95%CI)	回归系数	标准误	OR值(95%CI)
连续性	饮料依赖总量表	0.12	0.01	1.13(1.11~1.15)	0.11	0.01	1.12(1.10~1.14)
	戒断症状维度	0.19	0.01	1.21(1.18~1.24)	0.17	0.01	1.19(1.16~1.22)
	健康效应维度	0.30	0.02	1.35(1.29~1.42)	0.27	0.03	1.31(1.25~1.38)
	依赖症状维度	0.21	0.02	1.23(1.18~1.28)	0.18	0.02	1.20(1.15~1.25)
二分类	饮料依赖总量表	1.51	0.12	4.52(3.55~5.74)	1.31	0.13	3.71(2.87~4.80)
	戒断症状维度	1.23	0.11	3.41(2.75~4.24)	1.03	0.12	2.80(2.22~3.53)
	健康效应维度	1.00	0.10	2.73(2.26~3.29)	0.87	0.10	2.38(1.95~2.91)
	依赖症状维度	1.04	0.12	2.82(2.22~3.60)	0.90	0.13	2.45(1.89~3.18)
注： P值均＜0.01。

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